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Information Journal Paper

Title

COMPARISON COPULA AND SEASONAL AUTO REGRESSIVE MOVING AVERAGE METHODS IN HELMAND RIVER FLOW MODELING

Pages

  523-533

Abstract

 River flow modeling has special importance in WATER RESOURCES MANAGEMENT. Since the actual river flow data are often low and they correlate and depend yearly and monthly, making the data similar to historical data is so difficult and complex. In this study, 50 year data and Seasonal Auto Regressive Moving Average (SARMA) and Clayton and Frank Copulas which are the PREDICTION and SIMULATION methods of the river flow molding, were used to generate random flow data of Helmand River. Results show, SARMA model forecasts minimum river flow data very good, but the generated data hasn’t CORRELATION of historical data and usually the maximum river flow is greater than real data. Otherwise, Copula preserved concordance of real data and make the data that are similar to real river flow. Also Root Mean Square Error of Copula method was 0.3 that is was less than SARMA method (0.4). Therefore Copulas are good methods for Helmand river flow modeling.

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    APA: Copy

    KEIKHA, A.A., MOSANAN MOZAFARI, M., SABOUHI, M., & SOLTANI, GH.. (2014). COMPARISON COPULA AND SEASONAL AUTO REGRESSIVE MOVING AVERAGE METHODS IN HELMAND RIVER FLOW MODELING. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 28(3), 523-533. SID. https://sid.ir/paper/141921/en

    Vancouver: Copy

    KEIKHA A.A., MOSANAN MOZAFARI M., SABOUHI M., SOLTANI GH.. COMPARISON COPULA AND SEASONAL AUTO REGRESSIVE MOVING AVERAGE METHODS IN HELMAND RIVER FLOW MODELING. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2014;28(3):523-533. Available from: https://sid.ir/paper/141921/en

    IEEE: Copy

    A.A. KEIKHA, M. MOSANAN MOZAFARI, M. SABOUHI, and GH. SOLTANI, “COMPARISON COPULA AND SEASONAL AUTO REGRESSIVE MOVING AVERAGE METHODS IN HELMAND RIVER FLOW MODELING,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 28, no. 3, pp. 523–533, 2014, [Online]. Available: https://sid.ir/paper/141921/en

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